verl-deploy

verl-deploy is a skill for Claude Code, Codex from Ascend/agent-skills. It costs 114 tokens per session (3,387 once invoked), scanned A, original, MulanPSL-2.0.

A deployment and configuration tool for Verl distributed training services. It can launch training containers and Ray clusters, which distribute work across machines, for RLHF or DAPO language-model training.

In plain words
What is it for?
It helps launch Verl jobs, configure Ray and SwanLab, choose acceleration settings, and run DAPO training for supported Megatron models such as Qwen3-8B.
Why use it?
It removes much of the manual setup needed to start distributed training on an Ascend NPU cluster.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It helps launch Verl jobs, configure Ray and SwanLab, choose acceleration settings, and run DAPO training for supported Megatron models such as Qwen3-8B.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ascend/agent-skills/verl-feature-deploy
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Ascend/agent-skills --skill verl-feature-deploy
Clone the repo
git clone --depth 1 https://github.com/Ascend/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for verl-deploy

README.md
[![agentmods](https://agentmods.dev/badge/skills/ascend/agent-skills/verl-feature-deploy/github.svg)](https://agentmods.dev/skills/ascend/agent-skills/verl-feature-deploy)
Your own site
<a href="https://agentmods.dev/skills/ascend/agent-skills/verl-feature-deploy"><img src="https://agentmods.dev/badge/skills/ascend/agent-skills/verl-feature-deploy/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for verl-deploy

Your own site · 80×15
<a href="https://agentmods.dev/skills/ascend/agent-skills/verl-feature-deploy"><img src="https://agentmods.dev/badge/skills/ascend/agent-skills/verl-feature-deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,387 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00114 $0.03387
Opus 5 $0.00057 $0.01693
Sonnet 5 $0.00023 $0.00677
Haiku 4.5 $0.00011 $0.00339

Measured 7d ago against content hash 6fe92cee1274, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

verl-deploy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (assets/start_template.sh, assets/training_template.sh, scripts/feature_mask.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/verl-feature-deploy/SKILL.md · 367 lines

The source is not reproduced here

Licensed MulanPSL-2.0

The repository is licensed MulanPSL-2.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 367 lines · 114 tokens per session scan A 6fe92cee1274

Subscribe to this mod's changes

verl-deploy is a skill published in the GitHub repository Ascend/agent-skills (40 stars, last pushed 4mo ago), licensed MulanPSL-2.0. It adds 114 tokens to every session and 3,387 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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